Formula Data Analysis @FDataAnalysis

|📖 F1 Understanding Starts by Clicking Follow! ⬆️|📈Learn To Read F1 Telemetry Data 📊|⚙️ Mech Engineer Doing a PhD in Vehicle Dynamics 🏎️| linktr.ee/fdataanalysis Turn Notifications On! 🔔 Joined March 2022

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Formula Data Analysis @FDataAnalysis

12 hours ago

📉Mercedes' inexorable (so far) decline: POINTS AFTER 5 RACES: 2019: 217 (1st) 2020: 180 (1st) 2021: 148 (2nd) 2022: 95 (3rd) 2023: 96 (3rd) 2024: 52 (4th) Will the team come on top of their problems? And when?🤔 @MercedesAMGF1 @LewisHamilton @GeorgeRussell63

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Formula Data Analysis @FDataAnalysis

a day ago

REDBULL WAS UNDERPOWERED Their '17 car was held back by Renault's low power (and unreliability): -Competitive in street circuits -Unsuitable for fast tracks Still, Newey's team trimmed the rear wing significantly while retaining good downforce: P4 by @danielricciardo in Monza!

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Formula Data Analysis @FDataAnalysis

2 days ago

Remember when #Ferrari surprised everyone in 2017? The SF70H was much shorter than the Mercedes (3594mm vs 3726mm wheelbase) Strengths: -Downforce -Race Pace Weaknesses: -Top Speed -Reliability (season-end) In '18/'19 Ferrari reduced the drag - but lost their downforce edge…

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Formula Data Analysis @FDataAnalysis

3 days ago

📊Positions gained in the #ChineseGP 📈Hamilton gained the most (P18 to P9) 📉Bottas lost the most (P10 to P20 due to his retirement) Ferrari recovered well after a disappointing qualifying (4 places gained in total) The opposite for Aston: ALO and STR lost 4 places each Via…

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Formula Data Analysis @FDataAnalysis

6 days ago

AVERAGE TIME IN PITS - #ChineseGP 🥇🟡RBR was fastest: flawless execution by @F1mech and his crew! 🥈🟠McL: +0.06s slower 🥉🔴Ferrari: +0.10s 🟢Sauber desperately needs the updated wheel nuts to fix their troublesome pit stops Aston’s average was high due to STR #F1

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Formula Data Analysis @FDataAnalysis

7 days ago

TOP SPEEDS - #ChineseGP Stroll reached 348km/h as in the Sprint, the highest top speed once again: Aston reached the highest top speed in qualifying too, which confirms their low drag here McL was the slowest car when the DRS was inactive: only 314km/h #F1

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Formula Data Analysis @FDataAnalysis

7 days ago

For the people who are calling PIA in the comments: he had very visible floor damage! His pace was not exciting even before that, but his overall pace cannot be compared to others

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Formula Data Analysis @FDataAnalysis

7 days ago

RACE PACE - #ChineseGP 🟡VER 0.67s/lap quicker than PER. A lot, even taking the traffic into account! 🟠McL (NOR) was 0.88s/lap behind but with one pit less 🔴LEC: +0.31s/lap vs NOR➡️McL was clearly quicker 🟢Aston's pace aided by the additional pits Mercedes: no pace #F1

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Formula Data Analysis @FDataAnalysis

7 days ago

Ferrari’s pace was much better on the Mediums than on the Hards. In particular, they struggled to bring them into the working temperature at the SC restart: NOR was way quicker in the first few laps after the restart

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Formula Data Analysis @FDataAnalysis

7 days ago

🗒️Notes on #ChineseGP! 🔵VER won and made the difference: PER couldn’t gain over NOR on the last stint 🟠NOR was MVP: he needs a win now 🔴Solid race by LEC; Ferrari limited the damage waiting for the upgrades ⚫️Good recovery by HAM ⚪️HUL in the points! What’s YOUR take?🤔 #F1

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Formula Data Analysis @FDataAnalysis

a week ago

📈START ANALYSIS - #ChineseGP SPRINT Best Starters: HAM and LEC Worst Starter: PIA (0.4s slower than HAM and LEC to reach 200km/h) The two Williams struggled, too (0.3s lost to the best start) Despite the Softs, Russell's start was just average #F1

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Formula Data Analysis @FDataAnalysis

a week ago

Highest top speed in the #SprintF1: 348km/h for Stroll Leclerc was close (347km/h), and his average top speed was the highest together with Ricciardo's (337km/h for both) Highest top speed without DRS: 324km/h (TSU) #F1

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Formula Data Analysis @FDataAnalysis

a week ago

RACE PACE - #ChineseGP SPRINT 🥇No one could match VER: 0.74s/lap quicker than anyone else! 🥈LEC was 2nd quickest, then🥉PER (+0.79s/lap) and ALO (+0.80s/lap). HAM was in the mix, too (+0.82s/lap) McLaren was uncompetitive What's your prediction for the race?🤔 #F1

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Formula Data Analysis @FDataAnalysis

a week ago

TOP SPEEDS - SPRINT SHOOTOUT Nine teams were in a narrow 3km/h range: -Fastest (322km/h): Aston, Haas and Williams -Slower: (319km/h): McL and Ferrari -Slowest (just 315km/h): Alpine (high drag and, despite that, the drivers had to brake sooner than most!) #F1 #ChineseGP

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Formula Data Analysis @FDataAnalysis

a week ago

FASTEST SECTORS - FP1 #chineseGP Mercedes/ ALO on Hards Others on Softs 🟠NOR quickest in the twisty S1 by far: -McL is showing excellent grip -Most teams are probably still far from the limits He aborted the lap while in Sector 3 🟢STR: quickest in S2 🟡RBR: quickest in S3

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Formula Data Analysis @FDataAnalysis

a week ago

MINISECTORS - FP1 #ChineseGP 🟢STR was quickest on the main straight, and out of T3/T8/T12 🟠PIA fast in the twisty S1 and S3 🟡VER quickest in S3 (long straight) Laptimes still very slow (almost 5s to last pole)➡️Hard to guess the running order! Aston: 324km/h (+4km/h vs McL)